Scalable Kubernetes Golden Path Architecture I designed a standardized "Golden Path" for microser...

Scalable Kubernetes Golden Path Architecture I designed a standardized "Golden Path" for microser...Scalable Kubernetes Golden Path Architecture I designed a standardized "Golden Path" for microser...

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Thiago Nazario

• Jan 23

Scalable Kubernetes Golden Path Architecture

I designed a standardized "Golden Path" for microservices on AWS EKS. This framework empowers developers to ship code securely and autonomously while maintaining infrastructure best practices.

Key Features:

Auto-Scaling: Optimized HPA/VPA for maximum resource efficiency.

Security-First: Integrated automated vulnerability scanning.

GitOps Driven: Full lifecycle managed via GitHub Actions and Helm.

Kubernetes DevOps Python

ANIMESH SINGH

• Mar 4

Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals.

Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.

AI Engineer Apache Airflow Kafka Python Data Engineering

Abhiram Tinguria

• Mar 4

Very real problem. Manual invoice processing is still surprisingly common and becomes a huge bottleneck as companies scale. Automating extraction and validation with AI can save a lot of operational time and reduce errors significantly.

Rishi Gupta

• Mar 4

Hero Redesign for Plausible Saas

ui ux UI Design UX Design UX Writing Figma

Rasel Alam Jubayed

• Mar 4

Good work

Jeffrey Rene

pro

• Mar 4

At Mynd, I worked on building and scaling a property management platform focused on rental operations and investor services. I developed backend services using Python and Java to support leasing workflows, payments processing, owner reporting, and tenant management. On the frontend, I built responsive user interfaces using React, enabling property owners and residents to manage accounts, view financial data, and interact with the platform seamlessly.